The Lobo Lab

Computational & Systems Biology

At the Lobo Lab we reverse engineer biological mechanisms with an integrated systems approach. We are interested in understanding, controlling, and designing the dynamic regulation and signaling that control living organisms. We develop new computational methods, create mathematical formalisms, and apply molecular assays to build mechanistic understanding of biology. We seek to discover the regulation of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.

News

- New paper modeling the regulation of cell adhesion to explain sorting, intercalation, and involution tissue behaviors published in the Biophysical Journal.

- Archana passes the Preliminary Examination and advances to Candidacy. Congratulations!

- Noor and Alizay present their research with a poster at the annual Undergraduate Research Symposium in the Chemical and Biological Sciences.


Computational AI methods

Computational Methods

We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.

Planarian worms simulation

Systems Biology

We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.

Planform

Knowledge Representation

We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.

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Development and Regeneration

We study how shapes and patterns are formed from a single cell during development and restored through regeneration.

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Cancer and other Diseases

We seek to understand why and how regulatory mechanisms go awry to produce cancer and other diseases.

Regulatory network

Synthetic Biology

We design and optimize regulatory and metabolic networks with desired dynamics and behaviors to solve specific bioengineering problems.